About the Journal

Recognization by HEC's Journals Recognition System (HJRS)

The Asian Bulletin of Big Data Management (ABBDM) is a peer-reviewed journal recognized by the Higher Education Commission of Pakistan in Y category .

The Asian Bulletin of Big Data Management (ABBDM) is a peer-reviewed journal for research in social science and related disciplines.  The Journal seeks to include empirical, conceptual, and methodological articles across the full range of green management in Asian countries. The ABBDM provides a forum for academics and practitioners to share the latest developments and advances in the knowledge and practice of global business dimensions. It publishes scholarly articles of an interdisciplinary nature with contemporary global relevance. It also aims to foster the exchange of ideas on a range of important international issues and, in doing so, provide a stimulus for further research and the development of global perspectives. To this end, our objective is to attract quality scholarship that can practically benefit corporations and other institutions in their overall development as well as society at large. We encourage contributions from around the globe, with a special emphasis on emerging economies. 

The Asian Bulletin of Big Data Management (ABBDM) © 2021 by ASIAN ACADEMY OF BUSINESS AND SOCIAL SCIENCE RESEARCH is licensed under Attribution 4.0 International 

Current Issue

Vol. 6 No. 1 (2026): The Asian Bulletin of Big Data Management
Published: 2026-01-17

Business Analytics

  • Industry 5.0, Human-Centric Innovation, and Green Operational Efficiency: Evidence from Smart Sustainable Workflows

    Nijah Akram , Fahad Asghar , Khawar Abbas, Muhammad Hammad Abbasi, Sudhair Abbas Bangash
    1-14
    DOI: https://doi.org/10.62019/evs0zb74

  • Remote Work and Its Impact on Employee Productivity and Organizational Culture: A Review of Post-Pandemic Business Practices

    Farhan Zeb Khaskhelly, Nudrat Hameed
    15-25
    DOI: https://doi.org/10.62019/p997xk71

  • Globalization: The Challenges facing by the Developing Countries in the Education System

    Aijaz Ali Soomro, Saleem Ahmed Soomro, Tahir Hussain Soomro
    26-32
    DOI: https://doi.org/10.62019/jpvqks08

Data science

  • Anomaly Detection in IoT Using Machine Learning Techniques: A Comparative Study and Voting-Ensemble Approach

    Mediha Maroof, Ayesha Maroof, Ayesha Bano
    1-16
    DOI: https://doi.org/10.62019/f7v58427

  • Digital Twin-Enabled Predictive Intelligence Framework for Supply Chain 5.0: Hybrid Deep Reinforcement Learning Architecture for Real-Time Adaptive and Self-Optimizing Decision Management

    Omar J. Alkhatib , Muhammad Irshad Hussain, Raza Ali Nawaz, Muhammad Umar Amin, Ajab Khan
    17-39
    DOI: https://doi.org/10.62019/z34j8b27

  • An Efficient AI and Deep learning Assisted Self-Healing Network Approach: Analysis on Fault Detection Response and Recovery to Mitigate Threats in IoT-Security Ecosystem

    Muhammad Hamza Akhtar, Umair Ghafoor, Osama Imran, Nasir Ayub , Mian Muhammad Abdullah , Hamayun Khan
    40-66
    DOI: https://doi.org/10.62019/vzh8q026

  • Assessing application of Blockchain, Artificial Intelligence, and Cloud-Computing in e-Governance

    Mohsin Shaikh, Abdul Aziz Memon, Khalil Rauf, Ashfaq Ahmed, Shah Nawaz Khuhro
    67-76
    DOI: https://doi.org/10.62019/06tbjw31

  • Expanded Entity Coverage and Machine-Annotated Pre-Training for Urdu Named Entity Recognition

    Dr.Nazish Basir, Dr.Mumtaz Qabulio, Dr.Muhammad Suleman Memon, Mr.Danish Nazir Arain, Dr.Sehrish Basir Nizamani, Dr.Saad Nizamani
    77-93
    DOI: https://doi.org/10.62019/gypnn177

  • AI and Machine Learning Assisted Customer Aware Queries: A Comprehensive Analysis to improve User experience based on Natural Language Processing (NLP), Databricks, and Oracle APEX

    Asad Khalid Khan, Umair Ghafoor, Nasir Ayub, Arshad Ali, Mian Muhammad Abdullah, Hamayun Khan
    94-118
    DOI: https://doi.org/10.62019/mxa74q07

  • Explainable AI (XAI) in Practice: Users’ Perceptions of Transparency and Understanding in Automated Decision Systems

    Nadeem Ahmad Malik, Sakeena Parveen, Irfan Hanif
    119-137
    DOI: https://doi.org/10.62019/r2vyk412

  • Humaid-Ner: A Disaster Tweet Dataset for Joint Named Entity Recognition and Event Classification Via Uncertainty-Weighted Multitask Learning

    Aijaz Ali, Nazish Basir, Sarfaraz Nawaz, Danish Nazir Arain, Haris Ali
    138-152
    DOI: https://doi.org/10.62019/zabvxd97

  • Low-Resource Balochi Named Entity Recognition: Corpus Construction and Multilingual Transformer Evaluation

    Nazish Basir , Rafique Ahmed Vighio, Beenish Ansari, Noorulain patoli , Danish Nazir Arain, Aijaz Ali
    153-167
    DOI: https://doi.org/10.62019/en6geh21

  • The impact of artificial intelligence technology and customer engagement on consumer repurchase intention: The mediation and moderation approach

    Minhaj Ikram, Afshan Anwar
    168-183
    DOI: https://doi.org/10.62019/dtx5gm32

  • Latest Trends in Chip Technology in Pakistan: Emerging Opportunities and National Priorities

    Kavita Tabbassum, Saima Shaikh, Suhni Abbasi, , Shahnawaz Farhan Khahro
    184-186
    DOI: https://doi.org/10.62019/wc31zt03

  • Internet Of Things Intrusion Detection Based on Deep Learning

    Fauzia Talpur , Mir Rahib Hussain Talpur, Adeel Kamran, Shakir Hussain Talpur, Syed Baig Ali Shah, Khan Muhammad Maher
    187-204
    DOI: https://doi.org/10.62019/n87ayj75

  • Pomegranates Fruit Disease Classification Using EfficientNet Deep Learning Model

    Waqar Hussain , Kifayat Ullah, Shafiq Ahmad, Wasim Ahmad, Taseer Ullah
    217-242
    DOI: https://doi.org/10.62019/2wwdvh55

  • Escalating Cyber Threats: Analyzing Trends, Risks, and Countermeasures in Critical Sectors

    Muhammad Imran Ghafoor, Muhammad Sohaib Roomi, Mehmood Baryalai,, Zubair Zaland, Iqra Tabassum, Aliza Sohail
    243-255
    DOI: https://doi.org/10.62019/p3pfmt40

  • An Enhanced Machine Learning & Deep Learning based Intrusion Detection System for Intelligent Network Security: A Comprehensive Analysis to Avoid Intrusions in Big Data-based IoT Ecosystem

    Ghulam Abbas, Asma Basit , Nasir Ayub , Shahid Rafique , Arshad Ali , Hamayun Khan , Muhammad Zunnurain Hussain
    26-33
    DOI: https://doi.org/10.62019/9nt23663

  • Integrated Agriculture Management with IoT, AIoT, and Mobile Decision Support: An Analytical Review and Design

    Mir Rahib Hussain Talpur, Fauzia Talpur, Shakir Hussain Talpur, Mir Sajjad Hussain Talpur, Khan Muhammad Maher
    205-216
    DOI: https://doi.org/10.62019/19fjja55

  • A Unified Trust Architecture for Secured Voting Systems and a Hedge Against Inflation: An Advanced Framework Towards Sustainable Blockchains

    Muhammad Muzammal Farooq, Nasir Ayub , Umair Ghafoor, Asfar Ali , Hamayun Khan, Salheen Bakhet, Majid Ali Ali
    256-280
    DOI: https://doi.org/10.62019/wrk70h63

  • Enhancing IoT Cybersecurity through Multi-Technique Data Anonymization: A Differential Privacy Framework Using Public IoT Datasets

    Muhammad Imran Ghafoor , Muhammad Sohaib Roomi, Muhammad Sarfraz Khan, Mehmood Baryalai , Shumaila Hussain, Iqra Tabassum
    281-292
    DOI: https://doi.org/10.62019/tdjz6f05

  • Survey of Machine Learning Classification Techniques for Software Defects Prediction

    Quratulain
    293-316
    DOI: https://doi.org/10.62019/jeg1vv20

  • Homomorphic Encryption Techniques: Advances, Challenges, and Future Directions in Distributed Computing Security

    Muhammad Hussain , Muhammad Yusuf , Shafi Ullah, Shanila Azhar, Muhammad Akbar Khan, Muhammad Ashraf Khan
    DOI: https://doi.org/10.62019/jj2yek34
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